Tools
Sorted by:
Try your query at:
 |
 |
 |
 |
 |
 |
Results 1 - 10
of
103
SPATIAL-SPECTRAL UNMIXING OF HYPERSPECTRAL DATA FOR DETECTION AND ANALYSIS OF ASTROPHYSICAL SOURCES WITH THE MUSE INSTRUMENT
, 2013
"... Detection and analysis of astrophysical sources from the forthcoming MUSE instrument is of greatest challenge mainly due to the high noise level and the three-dimensional translation variant blur effect of MUSE data. In this work, we use some realistic hypotheses of MUSE to reformulate the data conv ..."
Abstract
- Add to MetaCart
Detection and analysis of astrophysical sources from the forthcoming MUSE instrument is of greatest challenge mainly due to the high noise level and the three-dimensional translation variant blur effect of MUSE data. In this work, we use some realistic hypotheses of MUSE to reformulate the data
U.: Processing hyperspectral data in machine learning
- European Symposium on Arti Neural Networks, ESANN 2013. d-side publishing (2013) 6
"... Abstract. The adaptive and automated analysis of hyperspectral data is mandatory in many areas of research such as physics, astronomy and geophysics, chemistry, bioinformatics, medicine, biochemistry, engineering, and others. Hyperspectra differ from other spectral data that a large fre-quency range ..."
Abstract
-
Cited by 1 (1 self)
- Add to MetaCart
Abstract. The adaptive and automated analysis of hyperspectral data is mandatory in many areas of research such as physics, astronomy and geophysics, chemistry, bioinformatics, medicine, biochemistry, engineering, and others. Hyperspectra differ from other spectral data that a large fre
Foreword to the Special Issue on Hyperspectral Image and Signal Processing
"... REMOTE SENSING (TGRS) dedicated to the analysis of hyper-spectral image data, edited by Prof. Landgrebe, Prof. Serpico, Prof. Crawford, and Prof. Singhroy [1], it is a great pleasure to introduce this new special issue on hyperspectral image and signal processing. In the intervening years, interest ..."
Abstract
- Add to MetaCart
REMOTE SENSING (TGRS) dedicated to the analysis of hyper-spectral image data, edited by Prof. Landgrebe, Prof. Serpico, Prof. Crawford, and Prof. Singhroy [1], it is a great pleasure to introduce this new special issue on hyperspectral image and signal processing. In the intervening years, interest
Robust target detecKon for Hyperspectral Imaging
"... (DétecKon robuste
de
cibles
en
imagerie
Hyperspectrale) ..."
Conference 6233: Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII
"... Analytical comparison of the matched filter and orthogonal subspace projection detectors in structured models for hyperspectral images ..."
Abstract
- Add to MetaCart
Analytical comparison of the matched filter and orthogonal subspace projection detectors in structured models for hyperspectral images
SPIE Astronomical Telescopes+Instrumentation 2014 · spie.org/as2 Contents
, 2014
"... telescopes + instrumentAtion• ..."
Machine Learning Approaches and Pattern Recognition for Spectral Data
"... Abstract. The adaptive and automated analysis of spectral data plays an important role in many areas of research such as physics, astronomy and geophysics, chemistry, bioinformatics, biochemistry, engineering, and others. The amount of data may range from several billion samples in geophysics to onl ..."
Abstract
-
Cited by 4 (3 self)
- Add to MetaCart
Abstract. The adaptive and automated analysis of spectral data plays an important role in many areas of research such as physics, astronomy and geophysics, chemistry, bioinformatics, biochemistry, engineering, and others. The amount of data may range from several billion samples in geophysics
FACTORIZATIONS APPLICATIONS TO EXPLORATORY MULTI-WAY DATA ANALYSIS AND BLIND SOURCE SEPARATION
"... For details of our global editorial offices, for customer services and for information about how to apply for permission to reuse the copyright material in this book please see our website at www.wiley.com. ..."
Abstract
- Add to MetaCart
For details of our global editorial offices, for customer services and for information about how to apply for permission to reuse the copyright material in this book please see our website at www.wiley.com.
Blind Source Separation: the Sparsity Revolution
, 2008
"... Over the last few years, the development of multi-channel sensors motivated interest in methods for the coherent processing of multivariate data. Some specific issues have already been addressed as testified by the wide literature on the so-called blind source separation (BSS) problem. In this conte ..."
Abstract
-
Cited by 8 (5 self)
- Add to MetaCart
with hyperspectral data. In a general framework, GMCA provides a basis for multivariate data analysis in the scope of a wide range of classical multivariate data restorate. Numerical results are given in color image denoising and inpainting. Finally, GMCA is applied to the simulated ESA/Planck data. It is shown
Results 1 - 10
of
103
